Analysts Corner

AUGUST 13, 2023

In the era of data-driven decision-making, understanding and managing the quality of data is crucial. As organizations increasingly rely on data to drive their operations, strategy, and innovation, ensuring data integrity and usability has never been more important.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Astera

APRIL 28, 2023

For example, GE Healthcare leverage AI-powered data cleansing tools to improve the quality of data in its electronic medical records, reducing the risk of errors in patient diagnosis and treatment. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

MAY 8, 2024

Improved Data Quality and Governance: Access to high-quality data is crucial for making informed business decisions. A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms.

Data Governance 52

Data Governance Government Healthcare Retail 52

Smart Data Collective

SEPTEMBER 21, 2021

The world we live in keeps facing unprecedented and rapid phase changes when it comes to business verticals and innovations. In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. Data quality and governance.

Data Management 261

Data Management Government Data Quality Data Discovery 261

Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Timo Elliott

JANUARY 22, 2019

We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. These data-driven, self-learning business processes improve automatically over time and as people use them. Cloud brings agility and faster innovation to analytics.

Data Discovery 240

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

Data Pine

SEPTEMBER 27, 2022

With insights into both common and advanced functions such as joins, window functions, subqueries, and regular expressions, readers will be able to accomplish their goals faster with an innovative approach. You can also utilize data discovery tools to get additional insight into the importance of data and how to approach it.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117